...to explore a large suite of methods for predicting new values of
variables based on the patterns of historical data. A flexible, intelligent
data mining user interface is provided to aid in the process of setting
up a model for the forecasting. Selecting this command will display a
submenu containing the following commands:

Deployment.
Forecasts can automatically be computed for multiple models in data mining
projects and plotted in a single graph for comparative evaluation. For
example, you can compute and compare predictions from multiple ARIMA models,
different methods for seasonal and nonseasonal exponential smoothing,
and the best time series neural network architectures (after searching
more than 100 different architectures).